Micro-Star International Co., Ltd. MS-7A38
Geekbench ML Score
2011
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 10:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1166
218.1 IPS |
|
|
Image Classification (F16)
|
100% |
1149
215.0 IPS |
|
|
Image Classification (I8)
|
97% |
1672
312.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
759
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1173
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4600
5.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
4600
5.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
4643
5.62 IPS |
|
|
Object Detection (F32)
|
100% |
1151
86.0 IPS |
|
|
Object Detection (F16)
|
100% |
1153
86.1 IPS |
|
|
Object Detection (I8)
|
60% |
1009
75.3 IPS |
|
|
Face Detection (F32)
|
100% |
1889
22.5 IPS |
|
|
Face Detection (F16)
|
100% |
1889
22.5 IPS |
|
|
Face Detection (I8)
|
87% |
2503
29.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4774
37.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4816
37.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
5015
38.9 IPS |
|
|
Style Transfer (F32)
|
100% |
10391
13.7 IPS |
|
|
Style Transfer (F16)
|
100% |
10387
13.7 IPS |
|
|
Style Transfer (I8)
|
85% |
8803
11.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1991
71.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1984
70.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1736
62.0 IPS |
|
|
Text Classification (F32)
|
100% |
885
1.27 KIPS |
|
|
Text Classification (F16)
|
100% |
964
1.39 KIPS |
|
|
Text Classification (I8)
|
94% |
307
440.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1446
26.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1738
32.0 IPS |
